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GenAI System Architect
2 weeks ago
We are seeking a highly skilled and passionate engineer to join our dynamic team as a Platform Architect. In this role, you'll be instrumental in designing, developing, and maintaining cutting-edge build and test environments for critical GenAI workloads running on foundational cloud infrastructure.
About the Role:
- Designing and implementing state-of-the-art GPU compute clusters to support critical workloads.
- Developing robust performance testing frameworks to validate platform scalability, resilience, and identify optimization opportunities.
- Planning of comprehensive monitoring solutions with alerting systems to track platform health and ensure SLA compliance.
- Architecting a scalable automation infrastructure that supports growing platform capabilities with consistent test environments.
- Troubleshooting, diagnosing, and performing root cause analysis of system failures, isolating components and failure scenarios in collaboration with internal and external partners.
About You:
- A proven history of engaging with and contributing to open-source projects.
- A collaborative spirit, demonstrated by prior work developing scalable software solutions for cloud services.
- The ability to effectively communicate complex technical designs and quality approaches across various mediums.
- A strong passion for solving complex technical challenges and optimizing system performance.
Requirements:
- Over 6-8 years of experience working with developing ML Infrastructure.
- Over 3 years of hands-on experience in large-scale direct experience building and deploying production-ready services on Kubernetes.
- Proficiency in programming with Python and Bash scripting.
What Sets You Apart:
- Significant experience with sophisticated infrastructure tooling, including Kubernetes Cluster API, Terraform, Helm, and Operator Framework.
- Practical, production-level experience across major cloud platforms: Azure, Google Cloud Platform (GCP), or Amazon Web Services (AWS).
- A strong track record of successfully refactoring and optimising software for deployment within Kubernetes environments.
